Issue No. 05 - October (1995 vol. 7)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/69.469834
<p><it>Abstract</it>—An important structuring mechanism for knowledge bases is building an inheritance hierarchy of classes based on the content of their knowledge objects. This hierarchy facilitates group-related processing tasks such as answering set queries, discriminating between objects, finding similarities among objects, etc. Building this hierarchy is a difficult task for the knowledge engineer. Conceptual clustering may be used to automate or assist the engineer in the creation of such a classification structure. This article introduces a new conceptual clustering method which addresses the problem of clustering large amounts of structured objects. The conditions under which the method is applicable are discussed.</p>
Conceptual clustering, data structures, knowledge bases, knowledge indexing, machine learning.
G. W. Mineau and R. Godin, "Automatic Structuring of Knowledge Bases by Conceptual Clustering," in IEEE Transactions on Knowledge & Data Engineering, vol. 7, no. , pp. 824-829, 1995.